期刊论文详细信息
International Journal of Industrial Engineering Computations
A new ensemble algorithm of differential evolution and backtracking search optimization algorithm with adaptive control parameter for function optimization
关键词: Differential Evolution (DE);    Backtracking Search Optimization Algorithm (BSA);    Ensemble Algorithm;    Unconstrained Optimization;   
DOI  :  10.5267/j.ijiec.2015.9.003
来源: DOAJ
【 摘 要 】

Differential evolution (DE) is an effective and powerful approach and it has been widely used in different environments. However, the performance of DE is sensitive to the choice of control parameters. Thus, to obtain optimal performance, time-consuming parameter tuning is necessary. Backtracking Search Optimization Algorithm (BSA) is a new evolutionary algorithm (EA) for solving real-valued numerical optimization problems. An ensemble algorithm called E-BSADE is proposed which incorporates concepts from DE and BSA. The performance of E-BSADE is evaluated on several benchmark functions and is compared with basic DE, BSA and conventional DE mutation strategy.

【 授权许可】

Unknown   

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